## Feature Selection Methods in Machine Learning

Feature selection is a method for selecting a subset of features from features present in the dataset. Feature selection is very important.

Feature selection is a method for selecting a subset of features from features present in the dataset. Feature selection is very important.

Remove Outliers in Python Pandas Package. For outliers detection, we use visualization(boxplot and scatterplot) and statistical(Inter Quartile Range and standard deviation).

Conversion of categorical to numerical data in python done by methods label, one hot & dummy variable encoding methods.

Linear Regression is a machine learning algorithm that is used for the prediction of a continuous variable. It is based on supervised learning.

Types of machine learning(subfield of AI) algorithms are supervised, unsupervised, semi-supervised learning, and reinforcement learning.

SciPy is built on NumPy in Python that creates modules for scientific calculation. SciPy is collection of mathematical algorithms and functions built in NumPy extension in Python.

Pandas is the most powerful, flexible, and open-source python library for data analysis preferred by Data Scientists. It offers different operations for manipulating tabular data.

Numpy is python library that provides computation on large array elements and matrices. Numpy provides fast and efficient processing on n-dimensional arrays. Array elements in numpy are stored in continuous memory location so that the processing of element is fast and efficeint, unlike in list where the elements are stored in random memory location.